Self-adaptive Care Plan Goal Modules for Dynamic Health Management
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Solution Overview
Problem
The existing outpatient or remote health care management systems are burdensome and ineffective due to staffing shortages and infrequent interactions between patients and clinicians, leading to suboptimal care plan adjustments.
Innovation Solution
A health management system that includes dynamically configurable goal modules and content sessions, adjusted based on patient feedback and intervention rules, to optimize progress toward health management goals, with a care plan manager controlling the presentation of content sessions and automatically modifying the care plan to improve patient outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of care plans by clinicians is used, then care plan effectiveness can be improved through personalized adjustments, but staffing costs and labor burden increase significantly
Solution Approach 1:
The system enables self-service by automatically adjusting care plans based on patient feedback and pre-defined intervention rules. The care plan manager autonomously modifies goal modules and content sessions without requiring manual clinician intervention, allowing the system to serve itself in optimizing care delivery while reducing staffing burden.
Solution Approach 2:
The system implements continuous feedback loops where patient responses to surveys and quizzes are automatically processed. This feedback drives dynamic reconfiguration of care plans, allowing the system to learn from patient progress and automatically adjust interventions, replacing manual clinician review with automated feedback-driven optimization.
2Productivity
If frequent clinician-patient interactions are implemented, then care plan optimization can be improved, but labor costs and operational burden increase
Solution Approach 1:
The system replaces the mechanical system of human clinician-patient interactions with an automated electronic system. The care plan manager automatically processes patient data, evaluates progress, and adjusts care plans through algorithmic decision-making, substituting human labor with automated computational processes that can operate continuously without additional staffing.
Solution Approach 2:
The system ensures continuity of useful action by operating continuously to monitor patient progress and adjust care plans. Unlike intermittent clinician reviews, the automated system processes feedback in real-time, maintaining constant optimization of care delivery without requiring additional human resources or creating gaps in care management.
3Adaptability or versatility
If static care plans are used, then system simplicity is maintained, but adaptability to patient progress is reduced
Solution Approach 1:
The system transitions from static to dynamic care plans by continuously reconfiguring goal modules and content sessions based on patient feedback. The care plan manager dynamically adjusts the care delivery system in real-time, allowing care plans to evolve and adapt to changing patient needs and progress while maintaining systematic control through automated rule-based decision-making.
Data Source
AI summary
A goal module (78, 198, 298) includes one or more content sessions (80, 82, 200, 202, 204, 224, 300, 318) cooperatively directed toward achieving a projected health management goal. At least one feedback path (48, 86, 140, 142, 210, 234, 312, 322, 410) provides at least one input indicative of a trend in a patient progress toward achieving the projected health management goal. A care plan manager (84) dynamically configures or modifies at least one of the goal module (78, 198, 298) and content sessions (80, 82, 200, 202, 204, 224, 300, 318) based at least on the one input and intervention rules so that the patient's progress toward the projected health management goal is optimized.